stable-code-3b-mlx / README.md
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---
language:
- en
license: other
library_name: transformers
tags:
- causal-lm
- code
- mlx
datasets:
- tiiuae/falcon-refinedweb
- bigcode/the-stack-github-issues
- bigcode/commitpackft
- bigcode/starcoderdata
- EleutherAI/proof-pile-2
- meta-math/MetaMathQA
metrics:
- code_eval
model-index:
- name: StarCoderBase-3B
results:
- task:
type: text-generation
dataset:
name: MultiPL-HumanEval (Python)
type: nuprl/MultiPL-E
metrics:
- type: pass@1
value: 32.4
name: pass@1
verified: false
- type: pass@1
value: 30.9
name: pass@1
verified: false
- type: pass@1
value: 32.1
name: pass@1
verified: false
- type: pass@1
value: 32.1
name: pass@1
verified: false
- type: pass@1
value: 24.2
name: pass@1
verified: false
- type: pass@1
value: 23.0
name: pass@1
verified: false
---
# mlx-community/stable-code-3b-mlx
This model was converted to MLX format from [`stabilityai/stable-code-3b`]().
Refer to the [original model card](https://huggingface.co/stabilityai/stable-code-3b) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/stable-code-3b-mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```